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Risk quantification with combined use of lithological and grade simulations: Application to a porphyry copper deposit

机译:结合岩性和品位模拟进行风险量化:应用于斑岩铜矿床

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摘要

The uncertainty in the recoverable tonnages and grades in a mineral deposit is a key factor in the decision-making process of a mining project. Currently, the most prevalent approach to model the uncertainty in the spatial distribution of mineral grades is to divide the deposit into domains based on geological interpretation and to predict the grades within each domain separately. This approach defines just one interpretation of the geological domain layout and does not offer any measure of the uncertainty in the position of the domain boundaries and in the mineral grades. This uncertainty can be evaluated by use of geostatistical simulation methods. The aim of this study is to evaluate how the simulation of rock type domains and grades affects the resources model of Sungun porphyry copper deposit, northwestern Iran. Specifically, three main rock type domains (porphyry, skam and late-injected dykes) that control the copper grade distribution are simulated over the region of interest using the plurigaussian model. The copper grades are then simulated in cascade, generating one grade realization for each rock type realization. The simulated grades are finally compared to those obtained using traditional approaches against production data. (C) 2015 Elsevier B.V. All rights reserved.
机译:矿藏中可回收吨位和品位的不确定性是采矿项目决策过程中的关键因素。当前,模拟矿物品位空间分布不确定性的最普遍方法是根据地质解释将矿床划分为多个区域,并分别预测每个区域内的品位。这种方法仅定义了一种对地质区域布局的解释,而没有提供对区域边界位置和矿物品位的不确定性的任何度量。可以使用地统计模拟方法评估这种不确定性。这项研究的目的是评估岩石类型域和坡度的模拟如何影响伊朗西北部的Sungun斑岩铜矿床的资源模型。具体而言,使用普里高斯模型对控制铜品位分布的三个主要岩石类型域(斑岩,skam和晚注入岩脉)进行了模拟。然后对铜品位进行级联模拟,为每种岩石类型实现生成一个品位实现。最后将模拟等级与使用传统方法获得的数据进行比较。 (C)2015 Elsevier B.V.保留所有权利。

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